Research & Development Specialist Data AnalystUniversity Hospital Southampton NHS FT • Southampton, England, United Kingdom
Research & Development Specialist Data Analyst
University Hospital Southampton NHS FT
- Southampton, England, United Kingdom
- Southampton, England, United Kingdom
Über
Please see below for detailed job description of the role.
Main duties of the job:
We are looking for two highly motivated research data analysts to join our rapidly expanding Data & AI Research Unit, working at the cutting‑edge of NHS data research within the R&D department at UHS. These posts form part of a team created to support the delivery of the Southampton Emerging Therapies and Technologies (SETT) Centre, and scale data research across the region.
Working for our organisation University Hospital Southampton is one of England’s largest acute teaching Trusts, offering a wide range of learning and development opportunities to support your career aspirations.
Located on the south coast with an international airport and direct rail links to London, Southampton offers an ideal setting to live and work, with the New Forest, South Downs and Jurassic Coast.
We believe that using technology wisely shows strong time management and commitment to innovation. However, personalising your recruitment application to highlight your unique skills and experiences is crucial. Relying too heavily on generic, AI‑generated content instead of drawing from your own strengths and accomplishments may lead to your application being rejected if multiple candidates present identical or similar information.
At UHS we’re committed to providing a flexible working environment where possible. Whether you are balancing family, study, or your wellbeing with your career, we want to support you so you can help our patients.
At UHS, we proudly champion individuality, recognising that outstanding care is only possible with a diverse, inclusive team. We’re committed to creating an anti‑racist, anti‑discriminatory environment where everyone feels valued, safe, and empowered to make a meaningful impact in our communities. We welcome applicants of all backgrounds, identities, and experiences to join us in building a healthcare community where everyone can belong, thrive, and contribute.
About The Team The SETT Data & AI Research Unit is the data science arm of the hospital – supporting clinical research through the design of scalable and reproducible analytical/ML pipelines. We’re a highly collaborative and forward‑thinking team at the forefront of NHS data research and are passionate about unlocking clinical data at scale to drive better outcomes for our patients.
Our analysts also contribute to the team’s longer‑term innovation projects to advance the field of health data research. The role involves building relationships with clinicians, academics, and partners in UHS, as well as across NHS and university networks. We’re looking for creative, self‑starting analysts who thrive in collaborative environments with multidisciplinary teams. Candidates must have a working engineering/analytical proficiency in our core stack of SQL and Python. This is a great opportunity to join a rapidly growing unit and play a key role in shaping the future of data‑driven healthcare.
The SETT data team are also an integral part of the Wessex SDE programme hosted by UHS. The Secure Data Environment programme is a national programme aimed at maximising the use of NHS data providing safer, more secure, and faster access to different types of NHS data as well as ensuring consistent standards and interoperability.
If you use AI tools to assist with your application, it is essential that you use them appropriately. We often receive a large number of AI‑generated applications, and this results in many being indistinguishable from one another and lacking in personal detail. While AI can be used to proof your application, those that appear heavily generated will be disqualified. Signs can include generic non‑specific claims, missing concrete examples, and phrases that are overly polished but lacking in content. A good application outlines the use of skills in previous roles rather than listing them, and in such a way that allows us to clearly understand the purpose, work, and impact of your role and your organisation. Please note that we may close this post early, if a high number of applications are received.
What You’ll Do The Data & AI Research Unit works closely with Research & Development to support clinical and academic researchers. The unit collaborates with teams spanning various specialties within the hospital, in academia, and across the NHS. These range from national collaborations to drive big data NHS research efforts, to the in‑house development of novel and experimental tools to streamline data analytics, to tackling significant operational challenges such as complex discharges and patient flow through the deployment of machine learning algorithms.
Develop automated SQL extraction pipelines to produce high‑quality datasets for research projects, from cohort identification through to transformation and standardisation of clinical data.
Support the team’s aims to expand research capacity within the hospital and across the wider region.
Support the NHS Wessex Secure Data Environment programme, linking regional data across care settings.
Work collaboratively with healthcare practitioners, academics, operational teams, and research groups.
Support the team’s efforts to develop innovative tools to streamline data research, and help to direct the team’s longer‑term aims.
What We’re Looking For
Degree in a numerate or scientific discipline, with demonstrable working experience applying a critical and analytical approach to problem solving.
Proficiency in our core stack of Python and SQL (other development experience is also welcome), and experience working with large clinical or commercial databases.
At least two years’ experience in a statistical, research, or analytical role (either commercial or health‑related), including working with sensitive data.
Comfortable working collaboratively with multidisciplinary clinical and academic teams, acting as the technical subject matter expert and able to translate for non‑technical colleagues.
Proactive self‑starter, able to drive projects independently from conception to delivery, and enjoys working with autonomy over their own work.
Experience in a client‑facing environment with good interpersonal and communication skills, and experience of active collaboration within a larger team.
A desire to continue developing data science skills from the wider teams’ combined expertise, including statistics and machine learning, Educational or working background in a bioscience, clinical or related field can be helpful, but not essential.
Knowledge of research within the NHS can be helpful, but not essential.
Attached you will find the person specification document which provides more detail about the essential and desirable skills and experience needed for this role. We highly recommend you review this document and use it when completing your application as these criteria are used by hiring managers as guidance during shortlisting.
Person Specification Trust Values
Patient First
Always Improving
Working Together
Qualifications / Training Required
Educated to degree standard in a numerate discipline or equivalent experience relevant to the role
Evidence of continued professional development relevant to the role
Desirable Criteria
Good Clinical Practice (GCP)
Previous or Relevant Experience Necessary Essential Criteria
Experience of corporate databases and multi-user environments for reporting, being able to demonstrate the use of these databases/ software to create reports and provide information
Experience of report writing and analysis reporting and able to adjust approach dependant on the audience
Advanced MS Excel skills including macros
Experience of working with SQL
Knowledge/ experience of NHS information requirements such as reporting data sets and standards; Information Governance
Experience of working with BI tools such as Power BI or QlikView
Desirable Criteria
Experience of working with industry standard programming tools such as Python / R
Experience of working in the R&D landscape
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Sprachkenntnisse
- English
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